학술논문

Rare variants in the splicing regulatory elements of EXOC3L4 are associated with brain glucose metabolism in Alzheimer’s disease
Document Type
article
Source
BMC Medical Genomics, Vol 11, Iss S3, Pp 45-52 (2018)
Subject
Alternative splicing
Imaging genomics
Alzheimer’s disease
Whole genome sequencing
Rare variants
Internal medicine
RC31-1245
Genetics
QH426-470
Language
English
ISSN
1755-8794
Abstract
Abstract Background Alzheimer’s disease (AD) is one of the most common neurodegenerative diseases that causes problems related to brain function. To some extent it is understood on a molecular level how AD arises, however there are a lack of biomarkers that can be used for early diagnosis. Two popular methods to identify AD-related biomarkers use genetics and neuroimaging. Genes and neuroimaging phenotypes have provided some insights as to the potential for AD biomarkers. While the field of imaging-genomics has identified genetic features associated with structural and functional neuroimaging phenotypes, it remains unclear how variants that affect splicing could be important for understanding the genetic etiology of AD. Methods In this study, rare variants (minor allele frequency